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CV

Name: Fisher
Age: 29
Email: tianhen1995@163.com


Education

Bachelor of Computer Science and Technology
Beijing University of Technology (Sep 2014 – Jun 2018)

  • GPA: 3.9/4.0 (Top 1% of the class)

Master of Computer Science and Technology
Tsinghua University (Sep 2018 – Jan 2021)

Awards:

  • National Scholarship (2018)
  • First-Class Academic Scholarship, Tsinghua University (2018-2019)

Work Experience

Backend Development Engineer
Yuanfudao Online Education (Mar 2021 – Sep 2021)
Research Platform, SuiCai Department

  • Developed and maintained the Guten book layout system and supported data maintenance for the Cyber question bank system.
  • Designed and implemented the image redrawing feature, including database storage and business logic.
  • Independently completed table rendering to reduce excessive OSS resource consumption, saving over 50% in OSS storage costs.
  • Developed business logic using the Spring framework, including CRUD operations and database table design.
  • Wrote unit tests and end-to-end integration tests for business logic, increasing overall unit test coverage to over 80%. Utilized Mockito to standardize test data generation, improving code reusability.

SDE I
Amazon China (Apr 2022 – Jul 2023)
FBA Removal, Amazon Logistics

  • Maintained Amazon global seller removal operations to ensure warehouse health.
  • Collaborated with team members on the seller address validation project, focusing on frontend-to-middle-end service calls, reducing address-related errors and ineffective logistics by 20%.
  • Independently added Cognito authentication services on an Elasticsearch database using CDK, resolving service permission change issues.
  • Resolved ticket issues and provided on-call support to ensure smooth business operations.

Skills

  • Proficient in Java programming, with knowledge of JVM fundamentals and multithreading.
  • Skilled in C/C++ programming and familiar with Python programming.
  • Experienced in backend development using the Spring framework, with an understanding of its architecture.
  • Familiar with Amazon AWS infrastructure, including CDK, DynamoDB, and Workflow.

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